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Activity Number: 78
Type: Contributed
Date/Time: Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #307655
Title: Search Algorithm and Selection of Optimal Choice for Focused Preference of Multiple Objectives
Author(s): Christine Anderson-Cook*+ and Lu Lu and Dennis Kon-Jin Lin
Companies: Los Alamos National Laboratory and Los Alamos National Laboratory and The Pennsylvania State University
Keywords: multiple criteria optimization ; prioritization of criteria ; Beta distribution ; focused Pareto front ; computational efficiency
Abstract:

Constructing a Pareto front based on two or more objectives is a common approach for identifying desirable candidate solutions and eliminating non-contenders. However, the search for the complete front may not be necessary if the decision-maker knows a priori that only certain weight combinations in a desirability function of the objectives are of interest. We present an algorithm for streamlining the search process and show how to quantify the gains in efficiency through a growth plot. Once the desired portion of the Pareto front has been found, we describe how graphical summaries can help illustrate trade-offs between choices and their robustness to changes in the preference weightings. We illustrate the method with the selection of a screening designed experiment where the two objectives are good estimation of model parameters and protection from model mis-specification.


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